Various tweaks, typos, and cleanup

.gitignore

@@ -1,2 +1,10 @@
 .DS_Store
 data/.DS_Store
+.idea
+cocoapi
+data/models
+data/test.record
+data/train.record
+models-master
+models
+tensorflow

README.md

@@ -20,7 +20,7 @@ The training data folder has a series of images and training annotations.
 Create a `test.record` file and a `train.record` file:
 
 ```
-./generate_tfrecord --folder=path/to/data_dir --train_ratio=.70
+python generate_tfrecord.py -folder=path/to/data_dir -train_ratio=.70
 ```
 
 Download [COCO-pretrained Faster R-CNN with Resnet-101 model](http://storage.googleapis.com/download.tensorflow.org/models/object_detection/faster_rcnn_resnet101_coco_11_06_2017.tar.gz)
@@ -41,15 +41,15 @@ export PYTHONPATH=$PYTHONPATH:`pwd`:`pwd`/slim
 1)
 
 ```
-python models-master/research/object_detection/train.py     --logtostderr    
+python models/research/object_detection/train.py     --logtostderr    
     --pipeline_config_path=./data/faster_rcnn_resnet101_cars.config  
     --train_dir=./data/models/model/train
 ```
 
 2)
 
 ```
-python models-master/research/object_detection/eval.py     --logtostderr    
+python models/research/object_detection/eval.py     --logtostderr    
     --pipeline_config_path=./data/faster_rcnn_resnet101_cars.config    
     --checkpoint_dir=./data/models/model/train     
     --eval_dir=./data/models/model/eval

analyzeimages.py

@@ -15,7 +15,7 @@
 
 from matplotlib.ticker import FormatStrFormatter, FuncFormatter
 
-sys.path.append('./models-master/research/')
+sys.path.append('./models/research/')
 from object_detection.utils import label_map_util
 from object_detection.utils import visualization_utils as vis_util
 

generate_tfrecord.py

@@ -25,7 +25,7 @@
 import tensorflow as tf
 import sys
 import xml.etree.ElementTree as eT
-sys.path.append('./models-master/research/')
+sys.path.append('./models/research/')
 from object_detection.utils import dataset_util